David Kartchner

11 papers A* 2Journal 3Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BioEL: A Comprehensive Python Package for Biomedical Entity Linking. NAACL (Findings) Prasanth Bathala, Christophe Ye, Batuhan Nursal, Shubham Lohiya, David Kartchner, Cassie S. Mitchell
2023	A*	`conf`	A Comprehensive Evaluation of Biomedical Entity Linking Models. EMNLP David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie S. Mitchell
2023	A*	`conf`	BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. SIGIR David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell
2023	—	`conf`	Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. BioNLP@ACL David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie S. Mitchell
2022	J	`jnl`	Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big Data Cogn. Comput. Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta, Cassie S. Mitchell
2020	—	`conf`	Denoising Multi-Source Weak Supervision for Neural Text Classification. EMNLP (Findings) Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie S. Mitchell, Chao Zhang
2020	J	`jnl`	Denoising Multi-Source Weak Supervision for Neural Text Classification. CoRR Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie S. Mitchell, Chao Zhang
2018	—	`conf`	Machine Learning Methods for Disease Prediction with Claims Data. ICHI Tanner Christensen, Abraham Frandsen, Seth Glazier, Jeffrey Humpherys, David Kartchner
2017	—	`conf`	Code2Vec: Embedding and Clustering Medical Diagnosis Data. ICHI David Kartchner, Tanner Christensen, Jeffrey Humpherys, Sean Wade
2017	—	`conf`	Cost Reduction via Patient Targeting and Outreach: A Statistical Approach. ICHI David Kartchner, Andy Merrill, Jonathan Wrathall
2017	J	`jnl`	Forward Thinking: Building Deep Random Forests. CoRR Kevin Miller, Chris Hettinger, Jeffrey Humpherys, Tyler Jarvis, David Kartchner